Evidence map›Paper›PMID 28740757›Full record

ArticlePeerJ2017

Using electroretinograms and multi-model inference to identify spectral classes of photoreceptors and relative opsin expression levels.

Nicolas Lessios

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Automated methods for efficient and accurate electroretinography.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2021
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Nicolas LessiosSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-1767-0153
University of Arizona · US

Funding

POST DOCTORAL EXCELLENCE IN RESEARCH AND TEACHINGK12GM000708 · NIGMS · UNIVERSITY OF ARIZONA · PI STRAUSFELD, NICHOLAS J · 2000 to 2018
$21.5M
NIGMS NIH HHS K12 GM000708
6 · The paper itself

Abstract

Understanding how individual photoreceptor cells factor in the spectral sensitivity of a visual system is essential to explain how they contribute to the visual ecology of the animal in question. Existing methods that model the absorption of visual pigments use templates which correspond closely to data from thin cross-sections of photoreceptor cells. However, few modeling approaches use a single framework to incorporate physical parameters of real photoreceptors, which can be fused, and can form vertical tiers. Akaike's information criterion (AIC

Indexed as

Color visionElectrophysiologyOpsin expressionPhotoreceptorSpectral sensitivityVisual pigmentsVisual system

Identifiers

PMID28740757
PMCPMC5522723
OpenAlexW2737766620

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.